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davidmosiah/astral-mcp

by Various

Precision-audited astrology MCP for AI agents — natal charts, transits, synastry & moon phases. Local-first, no API key, no account.

D

MCP

davidmosiah/astral-mcp

Added 13 July 2026

#ai-agents #astrology #birth-chart #claude #ephemeris #horoscope #llm-tools #mcp

Overview

A local-first MCP server that provides AI agents with audited astrology data including natal charts, transits, synastry, and moon phases. It runs entirely offline without requiring an API key or account, using TypeScript for precision calculations.

Best for

Best for
Developers building AI agents that need offline, audited astrological computations

Use cases

  • Integrate natal chart generation into a conversational AI assistant
  • Enable an agent to compute transit aspects for a given date and location
  • Provide synastry comparisons between two birth charts for relationship analysis

Notes

A local-first MCP server that provides AI agents with audited astrology data including natal charts, transits, synastry, and moon phases. It runs entirely offline without requiring an API key or account, using TypeScript for precision calculations.

0 stars on GitHub. Last updated 2026-07-03. Licensed MIT.

Use cases

  • Integrate natal chart generation into a conversational AI assistant
  • Enable an agent to compute transit aspects for a given date and location
  • Provide synastry comparisons between two birth charts for relationship analysis

Pros

  • No external dependencies or API costs since it runs locally
  • Audited calculations for accuracy in astrological data
  • Lightweight TypeScript implementation easy to integrate into MCP workflows

Cons

  • Zero stars and no community adoption indicates limited testing or support
  • Astrology data may not be useful for most practical or business applications
  • Requires users to trust the audited calculations without public validation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • No external dependencies or API costs since it runs locally
  • Audited calculations for accuracy in astrological data
  • Lightweight TypeScript implementation easy to integrate into MCP workflows

Cons

  • Zero stars and no community adoption indicates limited testing or support
  • Astrology data may not be useful for most practical or business applications
  • Requires users to trust the audited calculations without public validation
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